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fundamental learning procedures to tackle distressing images related to aversive memories. The aim is to generate insights with direct impact on clinical practice and patient wellbeing. PhD Candidate Reducing
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implementation can introduce vulnerabilities that are not visible at the algorithmic level. Sensitive information may leak through power consumption, electromagnetic emissions, timing behaviour, memory or bus
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participant recruitment and retention, conduct laboratory visits, coordinate with clinical research nurses and nurse practitioners, and contribute to scientific publications and regulatory documentation
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introduce vulnerabilities that are not visible at the algorithmic level. Sensitive information may leak through power consumption, electromagnetic emissions, timing behaviour, memory or bus activity, while
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
How do molecular interactions give rise to biological function? How can materials acquire adaptive behaviour and process information? Although these questions arise in different scientific
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robot learning and edge deployment. Closing date: 15 August Overview Robotics is entering a new phase where foundation models connect perception, language and action. Vision-language-action models, robot
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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modelling to better understand how children become curious, how they decide to seek information and how curiosity supports learning and memory. You will design and conduct experimental studies, review
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, focusing in particular on perception, working memory and cognitive control in younger and older (70-80 years) adults Performing advanced data analyses, including computational modelling of behavioural data
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scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and